Positions Available

The Triplett lab at UCLA is recruiting for multiple postdoctoral and PhD positions focused on statistical machine learning for neuroscience and mechanistic models of neural computation and cognition. 

Example project areas

Project area 1: Statistical methods for mapping neural circuit connectivity; inference of synaptic plasticity and learning rules from neural data.

Project area 2: Computational models of cognition, especially for causal structure learning or causal representation learning; testing resulting theories in human behavioral experiments and/or intracranial recordings.

Project area 3: Mechanistic interpretability and causality-based techniques for analyzing AI systems and/or biological neural circuits.

Project area 4: Designing and training AI systems for closed-loop neural stimulation; Bayesian experimental design algorithms.

Other areas of interest: machine learning for neural encoding and decoding; brain-computer interfacing; connectomics; latent factor analysis, dimensionality reduction, and neural dynamics; internal state estimation; analysis of large-scale electrophysiological and imaging datasets; causality; Bayesian statistics.

Candidates should have strong computational skills and a background in a quantitative discipline (computer science, statistics, physics, electrical engineering, mathematics, etc). A background in neuroscience is not required, but an interest in understanding the brain is essential.

For prospective postdocs: Please email Marcus directly at [email protected] with a CV and description of past research and future interests.

For prospective PhD students: Students join the lab through a relevant graduate program at UCLA, such as:

• Neuroscience Interdepartmental Program (IDP)

• Biomathematics Program (in the Department of Computational Medicine)

• Computer Science

• Statistics & Data Science.

Please note that I cannot directly admit students to a PhD program or offer PhD positions independently of UCLA's graduate admissions process. Prospective students should apply directly to one of the programs listed above.

Students who are already enrolled in a UCLA PhD program, or who have been admitted and are interested in the possibility of joining the lab, are strongly encouraged to contact Marcus with a CV and brief description of their research interests.

For prospective undergraduate students: If you’re interested in contributing to our research, please email Marcus at [email protected] with a CV, unofficial or official transcript, and description of your interest in the lab.

Please note that due to the volume of email requests I may not be able to respond to every message.

The UCLA campus at night